Javier Mogollon

2B Kannapolis Cannon Ballers

Age 21 R/R 5'8" / 160 lbs A HR +4% Svc 0.0 · Ctrl thru 2033

Overview

APROSPECTMiLBFA 2034

OGV OFP35OGV rank#983ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKCWS	180	.259/.408/.524	8	16	45	—	.135/.246/.276
2025	19	ACWS	224	.220/.347/.387	5	15	59	—	.174/.275/.313
2026	20	A+/ACWS	411	.262/.373/.448	14	36	74	—	.202/.287/.337
2027PROJMLE	21	MLBCWS	521	.193/.277/.328	13	19	72	-0.1
2028PROJ34% MLB	22	MLBCWS	125	.200/.284/.347	4	4	78	-0.0
2029PROJ48% MLB	23	MLBCWS	198	.205/.289/.358	6	6	82	0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$2M2032Arb-2$3M2033Arb-3$5M

Skills · percentileMiLB Statcast 2026 A+

BB%76

wRC+75

wOBA72

ISO68

Speed67

Chase%35

Career WAR0.0 WAR median (P10 -0.4 / P90 3.5, comp-based) · star 2% · didn't stick 88%

CompsSean Coyle (age 21) · Max Wagner (age 22) · Jeter Downs (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†72

AVG/OBP/SLG.191 / .275 / .325

PA210

HR5

SB8

K%34

BB%9

ISO136

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$2M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2031	Arb-1	$2M	+0.3	$0.9M	+$0.0M (cut)
2032	Arb-2	$3M	+0.4	$1M	+$0.0M (cut)
2033	Arb-3	$5M	+0.3	$0.8M	+$0.0M (cut)
Totals		$0.8M		$4M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	17	ROK	DSL White Sox	—	199	165	52	10	2	10	27	28	4	11	2	315	423	582	1.005	267	323	14	14	431	58	—	—	—	—	—	—
2024	18	ROK	ACL White Sox	—	180	143	37	14	0	8	33	69	3	16	0	259	408	524	932	266	433	38	18	408	45	—	—	—	—	—	—
2025	19	A	Kannapolis Cannon Ballers	—	224	186	41	10	3	5	30	56	6	15	6	220	347	387	734	167	288	25	13	331	59	—	—	—	—	—	—
2026	20	A+	Winston-Salem Dash	—	170	138	37	5	0	7	25	48	3	13	3	268	392	457	848	188	349	28	15	372	84	—	—	—	—	—	—
2026	20	A	Kannapolis Cannon Ballers	—	241	206	53	11	3	7	28	75	5	23	5	257	360	442	802	184	365	31	12	356	67	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL White Sox	—	199	173	31	6	1	4	19	32	4	11	2	179	276	295	570	116	187	16	10	254	58	—	—	—	—	—	—
2024	18	ROK MLE	ACL White Sox	—	180	156	21	7	0	5	20	100	3	16	0	135	246	276	521	141	308	56	11	234	45	—	—	—	—	—	—
2025	19	A MLE	Kannapolis Cannon Ballers	—	224	195	34	8	2	5	21	75	6	15	6	174	275	313	588	138	248	33	9	255	59	—	—	—	—	—	—
2026	20	A+ MLE	Winston-Salem Dash	—	170	148	32	4	0	6	15	63	3	13	3	216	301	365	666	149	295	37	9	292	84	—	—	—	—	—	—
2026	20	A MLE	Kannapolis Cannon Ballers	—	241	214	41	8	2	5	20	102	5	23	5	192	276	318	594	126	330	42	8	267	67	—	—	—	—	—	—
2023	17	ROK MLE	DSL White Sox	—	199	173	31	6	1	4	19	32	4	11	2	179	276	295	570	116	193	16	10	254	58	—	—	—	—	—	—
2023	17	ROK RAW	DSL White Sox	—	199	165	52	10	2	10	27	28	4	11	2	315	423	582	1.005	267	323	14	14	431	58	—	—	—	—	—	—
2024	18	ROK MLE	ACL White Sox	—	180	156	21	7	0	5	20	100	3	16	0	135	246	276	521	141	308	56	11	234	45	—	—	—	—	—	—
2024	18	ROK RAW	ACL White Sox	—	180	143	37	14	0	8	33	69	3	16	0	259	408	524	932	266	433	38	18	408	45	—	—	—	—	—	—
2025	19	A MLE	Kannapolis Cannon Ballers	—	224	195	34	8	2	5	21	75	6	15	6	174	275	313	588	138	252	33	9	255	59	—	—	—	—	—	—
2025	19	A RAW	Kannapolis Cannon Ballers	—	224	186	41	10	3	5	30	56	6	15	6	220	347	387	734	167	288	25	13	331	59	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	411	362	73	12	2	11	35	165	8	36	8	202	286	337	623	135	325	40	9	277	74	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	411	344	90	16	3	14	53	123	8	36	8	262	373	448	821	186	358	30	13	362	74	—	—	—	—	—	—
2023	17	ROK MLE	DSL White Sox	—	199	174	31	6	1	4	19	32	4	11	2	178	276	293	569	115	187	16	10	254	58	—	—	—	—	—	—
2024	18	ROK MLE	ACL White Sox	—	180	155	21	7	0	5	20	100	3	16	0	135	246	277	523	142	308	56	11	234	45	—	—	—	—	—	—
2025	19	A MLE	Kannapolis Cannon Ballers	—	224	195	34	8	2	5	21	75	6	15	6	174	275	313	588	138	248	33	9	255	59	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	411	365	73	12	2	11	35	165	8	36	8	200	286	334	621	134	316	40	9	277	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL White Sox	—	180	155	21	7	0	5	20	100	3	16	0	135	246	277	523	142	308	56	11	234	45	—	—	—	—	—	—
2025	19	A MLE	Kannapolis Cannon Ballers	—	224	195	34	8	2	5	21	75	6	15	6	174	275	313	588	138	248	33	9	255	59	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	411	365	73	12	2	11	35	165	8	36	8	200	286	334	621	134	316	40	9	277	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CWS	0%	521	463	89	17	3	13	45	178	8	19	5	193	277	328	605	136	275	34	9	274	72	-18	+2	-4	+2	+11	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CWS	34%	364	323	64	12	2	10	32	121	6	13	3	199	283	344	628	145	277	33	9	283	78	-10	+1	-2	+1	+8	-0.1
2029	23	MLB MLE	CWS	48%	408	363	74	14	2	12	36	132	6	13	3	204	288	355	643	151	279	32	9	289	82	-9	+1	-1	+1	+9	0.2
2030	24	MLB MLE	CWS	53%	455	404	84	15	3	14	41	144	7	14	3	207	292	362	653	154	280	32	9	293	85	-8	+2	-0	+2	+10	0.5
2031	25	MLB MLE	CWS	55%	505	446	94	17	3	16	46	157	8	15	4	210	294	366	659	156	281	31	9	296	86	-8	+1	-0	+2	+11	0.6
2032	26	MLB MLE	CWS	56%	521	461	98	18	3	16	47	160	8	14	4	211	295	368	663	156	281	31	9	297	87	-8	+1	-0	+2	+11	0.6
2033	27	MLB MLE	CWS	55%	523	463	98	18	3	16	47	161	8	14	3	210	294	365	659	154	281	31	9	296	86	-9	+2	-0	+2	+11	0.6
2034	28	MLB MLE	CWS	55%	518	459	96	18	3	15	47	161	7	12	3	208	292	360	652	152	279	31	9	293	84	-10	+1	-1	+2	+11	0.4
2035	29	MLB MLE	CWS	53%	506	449	93	17	3	15	45	158	7	10	3	206	289	354	643	148	278	31	9	289	82	-11	+1	-1	+2	+11	0.1
2036	30	MLB MLE	CWS	53%	494	440	88	16	2	14	44	156	7	9	3	203	285	346	631	143	275	32	9	284	79	-13	+1	-2	+2	+11	-0.2
2028	22	MLB CTX	CWS	34%	125	111	23	4	1	4	11	41	2	4	1	200	284	347	631	147	278	33	9	284	78	-3	+0	-1	+0	+3	-0.0
2029	23	MLB CTX	CWS	48%	198	175	36	7	1	6	18	64	3	6	2	205	289	358	647	153	279	32	9	291	82	-4	+0	-0	+1	+4	0.1
2030	24	MLB CTX	CWS	53%	240	212	43	8	1	7	22	76	4	7	2	208	292	365	657	156	281	32	9	295	85	-4	+1	-0	+1	+5	0.2
2031	25	MLB CTX	CWS	55%	276	245	53	10	2	9	25	86	4	8	2	211	295	369	664	158	282	31	9	297	86	-5	+1	-0	+1	+6	0.3
2032	26	MLB CTX	CWS	56%	290	258	55	10	2	9	26	89	4	8	2	212	296	371	667	158	282	31	9	299	87	-4	+1	-0	+1	+6	0.4
2033	27	MLB CTX	CWS	55%	288	256	54	10	2	9	26	89	4	7	2	211	295	368	663	157	281	31	9	297	86	-5	+1	-0	+1	+6	0.3
2034	28	MLB CTX	CWS	55%	283	251	54	10	2	9	26	88	4	7	2	209	293	363	656	154	280	31	9	294	84	-5	+1	-0	+1	+6	0.2
2035	29	MLB CTX	CWS	53%	270	240	49	9	1	8	24	84	4	5	2	207	290	357	647	150	279	31	9	291	82	-6	+0	-1	+1	+6	0.0
2036	30	MLB CTX	CWS	53%	260	231	47	9	1	7	23	82	4	5	1	204	286	349	635	145	276	32	9	286	79	-7	+1	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2230	1979	414	77	13	68	201	699	33	57	16	209	293	364	657	155	283	31	9	293	79	-43	+5	-4	+8	+48	1.5
/ 162G	—	A+C		—	650	577	121	22	4	20	59	204	10	17	5	210	295	366	660	156	284	31	9	293	79	-13	+1	-1	+2	+14	0.4
Career	—	MLE		—	5518	4881	984	185	30	158	498	1794	88	200	47	202	287	349	636	147	279	33	9	285	79	-92	+12	-9	+16	+98	2.5
/ 162G	—	MLE		—	650	575	117	22	4	19	59	211	10	24	6	203	289	355	644	151	281	32	9	285	79	-13	+2	-1	+2	+14	0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AKannapolis Cannon Ballers · 241 PAwOBA .349 → .267 (−83)K% 31.1% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.12%	÷1.000	×1.360	—	—	42.32%
BB% (unintentional) /PA	11.62%	÷1.000	×0.690	—	×1.015	8.14%
HBP% /PA	2.07%	—	×0.780	—	×1.015	1.64%
Singles /BIP	24.43%	÷1.000	×0.920	×1.004	×1.015	22.89%
Doubles /BIP	8.40%	÷1.000	×0.830	×1.004	×1.015	7.10%
Triples /BIP	2.29%	÷1.000	×0.910	×1.004	×1.015	2.12%
Home runs /BIP	5.34%	÷1.000	×0.800	—	×1.015	4.34%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .349 → .267; ISO .184 → .137; BABIP .365 → .330. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Winston-Salem Dash · 170 PAwOBA .369 → .292 (−78)K% 28.2% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.24%	÷1.000	×1.310	—	—	36.99%
BB% (unintentional) /PA	14.71%	÷1.000	×0.600	—	×1.027	9.06%
HBP% /PA	1.76%	—	×0.770	—	×1.027	1.40%
Singles /BIP	27.78%	÷1.000	×0.870	×0.972	×1.027	24.12%
Doubles /BIP	5.56%	÷1.000	×0.780	×0.972	×1.027	4.32%
Triples /BIP	0.00%	÷1.000	×0.850	×0.972	×1.027	0.00%
Home runs /BIP	7.78%	÷1.000	×0.880	—	×1.027	7.03%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .369 → .292; ISO .188 → .165; BABIP .349 → .295. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AKannapolis Cannon Ballers · 224 PAwOBA .323 → .255 (−68)K% 25.0% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.009	×1.360	—	—	33.70%
BB% (unintentional) /PA	13.39%	÷1.030	×0.690	—	×1.030	9.24%
HBP% /PA	2.68%	—	×0.780	—	×1.030	2.15%
Singles /BIP	17.69%	÷1.018	×0.920	×0.951	×1.030	15.68%
Doubles /BIP	7.69%	÷0.992	×0.830	×0.951	×1.030	6.31%
Triples /BIP	2.31%	÷1.091	×0.910	×0.951	×1.030	1.89%
Home runs /BIP	3.85%	÷0.853	×0.800	—	×1.030	3.72%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 104, 2B 98, 3B 118, K 102, BB 106 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .323 → .255; ISO .167 → .140; BABIP .288 → .248. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKACL White Sox · 180 PAwOBA .400 → .234 (−166)K% 38.3% → 55.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.33%	÷0.990	×1.440	—	—	55.77%
BB% (unintentional) /PA	18.33%	÷1.017	×0.620	—	×1.008	11.26%
HBP% /PA	1.67%	—	×0.720	—	×1.008	1.21%
Singles /BIP	20.27%	÷0.993	×0.820	×0.950	×1.008	16.02%
Doubles /BIP	18.92%	÷1.012	×0.720	×0.950	×1.008	12.88%
Triples /BIP	0.00%	÷0.900	×0.720	×0.950	×1.008	0.00%
Home runs /BIP	10.81%	÷1.076	×0.780	—	×1.008	7.90%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 99, 2B 102, 3B 80, K 98, BB 103 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .400 → .234; ISO .266 → .146; BABIP .433 → .308. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL White Sox · 199 PAwOBA .426 → .254 (−172)K% 14.1% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.07%	÷1.073	×1.220	—	—	16.00%
BB% (unintentional) /PA	13.57%	÷1.030	×0.700	—	×1.008	9.29%
HBP% /PA	2.01%	—	×0.700	—	×1.008	1.42%
Singles /BIP	21.90%	÷1.045	×0.680	×0.955	×1.008	13.71%
Doubles /BIP	7.30%	÷1.013	×0.600	×0.955	×1.008	4.16%
Triples /BIP	1.46%	÷1.150	×0.600	×0.955	×1.008	0.73%
Home runs /BIP	7.30%	÷1.233	×0.470	—	×1.008	2.80%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 147, 1B 109, 2B 103, 3B 130, K 115, BB 106 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .426 → .254; ISO .267 → .124; BABIP .323 → .187. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
#3Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,439	72	66	207	287	358	+9	+0	3.3	3.2
/162	664	20	18	+2.4	+0.0	0.9	pk7: 3
#4Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#5Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	pk7: -0
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Javier Mogollon (OGILVIE)	21	—	—	—	—	191/275/325	134	275	5	8	34%	9%	72	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Max Wagner 2024 · AA	22	41→38	46→50	55→50	42	204/275/332	128	291	13	18	33%	8%	72	-0.7	195/261/317	122	302	13	12	37%	7%	63	-1.3	190/255/330	140	291	17	7	39%	7%	61	-0.9
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Brayan Buelvas 2024 · AA	22	37→45	46→50	55	41	190/252/319	129	260	13	18	32%	7%	61	-1.5	204/265/326	122	293	11	16	32%	7%	66	-1.1	205/266/334	130	290	12	14	32%	7%	66	-0.8
✕Daz Cameron 2018 · A	21	42→48	45→50	53→55	40	206/268/336	130	291	12	19	32%	6%	70	-0.8	209/279/335	126	306	11	17	33%	7%	74	-0.5	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Kahlil Watson 2024 · A	21	38→43	45→50	55	40	189/266/313	124	301	13	20	39%	8%	65	-1.2	204/277/348	144	305	16	20	36%	8%	77	-0.3	203/280/353	149	296	17	24	35%	8%	76	-0.3
✕Jason Taylor 2009 · A	21	43→40	46→50	53→55	51	214/301/343	129	269	14	20	25%	10%	84	+0.2	213/273/327	114	268	11	17	24%	7%	70	-0.9	205/251/306	101	252	8	18	21%	5%	55	-0.6
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Kyren Paris 2023 · AA	21	44→49	45	60	43	203/291/336	132	329	12	27	38%	9%	79	-0.2	201/289/328	127	317	13	30	37%	10%	77	-0.3	189/282/319	130	294	14	35	37%	10%	71	-0.5
✕Cooper Bowman 2022 · A	22	44	45	56→60	41	214/289/346	132	303	12	19	32%	7%	81	-0.1	204/281/321	117	287	12	34	31%	8%	72	-0.7	210/283/330	120	279	11	40	27%	8%	72	-0.5
✕Ryan Bliss 2023 · A	23	37→47	44→50	52→60	40	191/253/303	112	263	12	21	31%	6%	57	-1.8	231/299/365	134	305	12	39	26%	8%	88	+0.4	232/299/362	129	300	10	41	25%	7%	85	+0.2
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	37	182/262/286	105	304	11	11	41%	7%	57	-1.8	200/264/310	110	285	13	7	33%	6%	63	-1.4	188/246/284	96	261	13	5	32%	5%	48	-1.0
✕Sean Henry 2007 · A	21	41→51	45→50	56→55	43	206/261/329	123	273	12	24	28%	7%	65	-1.2	243/296/370	127	297	11	17	21%	6%	88	+0.4	251/305/379	128	300	11	17	19%	6%	91	+0.6
✕Cameron Cauley 2024 · A	21	41→48	42→50	59→60	38	192/256/294	102	318	9	28	40%	8%	56	-1.9	207/261/343	136	303	14	27	34%	7%	68	-1.0	212/268/359	147	288	15	31	31%	7%	73	-0.5
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	193/258/302	109	254	8	22	26%	7%	58	-1.7	195/272/314	119	297	11	25	35%	8%	67	-1.1	242/320/377	134	335	14	46	29%	9%	98	+0.7
✕Joshua Báez 2024 · A	21	40→48	42→55	58→60	36	172/260/282	110	341	9	22	48%	8%	56	-1.9	206/280/356	150	315	18	30	38%	8%	80	-0.2	211/281/393	182	287	24	33	34%	7%	88	+0.3
✕Christian Cairo 2022 · A	21	41→49	40	53→60	46	191/289/283	92	297	8	16	35%	10%	67	-1.1	200/301/282	82	297	6	18	31%	11%	71	-0.8	219/314/286	67	298	3	31	25%	10%	75	-0.4

Javier Mogollon

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps